Analysis of Web-Based IoT through Heterogeneous Networks: Swarm Computing over LoRaWAN

Area of Science:

• Computer Science
• Networking
• Internet of Things

Background:

• The Internet of Things (IoT) connects diverse devices globally through Swarm Computing.
• Low-Power Wide-Area Networks (LPWANs) enable widespread IoT connectivity but have limitations in data capacity and packet size.
• Integrating LPWANs with traditional web systems like REpresentational State Transfer (REST) is difficult due to these constraints.

Purpose of the Study:

• To investigate methods for connecting web-based IoT applications with LPWANs.
• To analyze the feasibility of using specific protocols to overcome LPWAN limitations.
• To evaluate the impact of reduced communication load on REST-based IoT over LPWAN.

Main Methods:

• Studied packet generation for a REST-based IoT use case on LPWAN (Swarm OS over LoRaWAN).
• Evaluated Constrained Application Protocol (CoAP), Static Context Header Compression (SCHC), and Concise Binary Object Representation (CBOR) for communication efficiency.
• Assessed the impact of these protocols on packet size and transmission load.

Main Results:

• Achieved a 98.18% reduction in packet sizes when using SCHC and CBOR compared to HTTP and JSON.
• Demonstrated the possibility of transmitting data over restricted LPWAN links using the evaluated schemes.
• Showcased a significant decrease in the number of packets required for data transmission.

Conclusions:

• CoAP, SCHC, and CBOR are effective in enabling web-based IoT applications to communicate over LPWANs.
• These protocols significantly reduce data transmission load, overcoming key LPWAN limitations.
• The findings facilitate better integration of IoT devices with web services, enhancing scalability and efficiency.